About Me
Product Management leader and AI researcher bridging enterprise innovation with responsible AI development
I'm a Product Management leader and independent AI researcher with over 15 years of experience at the intersection of enterprise SaaS, data platforms, and artificial intelligence. My career spans building and scaling zero-to-one products, driving them from concept to product-market fit and multi-million-dollar ARR across global markets in regulated industries such as legal tech and financial services.
My research centers on responsible AI and governance. I authored BEATS: Bias Evaluation and Assessment Test Suite for LLMs (arXiv), a benchmark for evaluating fairness and structural bias in foundation models, and contributed to the MIT Science Policy Review with a systems-level framework for data and AI governance.
As a full-stack product builder, I bridge strategy and execution: identifying customer needs, defining customer journeys, designing and prototyping user experiences, architecting data platforms and APIs, and training and deploying ML and GenAI models. This hands-on approach allows me to transform abstract concepts into scalable, production-grade products that deliver measurable business impact.
Key Achievements
Product leadership across enterprise SaaS and AI
Scaled products from concept to market success
Published in arXiv and MIT Science Policy Review
Beyond Work
When I'm not building AI products, I enjoy contributing to open-source projects, publishing research, and speaking at conferences. Outside of work, you'll find me hiking with my dog, exploring national parks, or camping under the stars, activities that inspire clarity, focus, and resilience.
AI Research & Innovation
Advancing the field through independent research on bias, fairness, hallucinations, and systemic risks in LLMs. Author of BEATS (Bias Evaluation and Assessment Test Suite, arXiv), SHARP (Social Harm Analysis via Risk Profiles for Measuring Inequities in Large Language Models, arxic) and contributor to MIT Science Policy Review. Strong data science background with hands-on model development, evaluation, and quantization.
AI/ML Productization
Designing, building, and shipping AI-powered products. Operationalizing classical ML, LLMs, RAG, and agentic workflows with a focus on scalability, performance, and enterprise adoption. Experienced in training, fine-tuning, and deploying models into production.
Data Platforms & APIs
Architecting multi-tenant medallion data platforms, developer-first APIs, and secure data services for enterprise SaaS. Expertise in data pipelines, governance, and modern lakehouse/streaming architectures.
Product Strategy & Leadership
Expert in the full spectrum of product management— from vision, strategy, and roadmap planning to requirements, feature prioritization, and pricing. Skilled in market research, competitive analysis, and positioning, with a track record of using design thinking and human-centered design to deliver differentiated products. Experienced in bridging data science, AI/ML, and modern data platforms with business strategy to drive adoption and growth in enterprise SaaS.